Literature DB >> 24600231

Pantethine, a derivative of vitamin B5, favorably alters total, LDL and non-HDL cholesterol in low to moderate cardiovascular risk subjects eligible for statin therapy: a triple-blinded placebo and diet-controlled investigation.

Malkanthi Evans1, John A Rumberger2, Isao Azumano3, Joseph J Napolitano4, Danielle Citrolo5, Toshikazu Kamiya5.   

Abstract

High serum concentration of low-density lipoprotein cholesterol (LDL-C) is a major risk factor for coronary heart disease. The efficacy of pantethine treatment on cardiovascular risk markers was investigated in a randomized, triple-blinded, placebo-controlled study, in a low to moderate cardiovascular disease (CVD) risk North American population eligible for statin therapy, using the National Cholesterol Education Program (NCEP) guidelines. A total of 32 subjects were randomized to pantethine (600 mg/day from weeks 1 to 8 and 900 mg/day from weeks 9 to 16) or placebo. Compared with placebo, the participants on pantethine showed a significant decrease in total cholesterol at 16 weeks (P=0.040) and LDL-C at 8 and 16 weeks (P=0.020 and P=0.006, respectively), and decreasing trends in non-high-density lipoprotein cholesterol at week 8 and week 12 (P=0.102 and P=0.145, respectively) that reached significance by week 16 (P=0.042). An 11% decrease in LDL-C from baseline was seen in participants on pantethine, at weeks 4, 8, 12, and 16, while participants on placebo showed a 3% increase at week 16. This decrease was significant between groups at weeks 8 (P=0.027) and 16 (P=0.010). The homocysteine levels for both groups did not change significantly from baseline to week 16. Coenzyme Q10 significantly increased from baseline to week 4 and remained elevated until week 16, in both the pantethine and placebo groups. After 16 weeks, the participants on placebo did not show significant improvement in any CVD risk end points. This study confirms that pantethine lowers cardiovascular risk markers in low to moderate CVD risk participants eligible for statins according to NCEP guidelines.

Entities:  

Keywords:  cardiovascular diseases; controlled clinical trial; dietary supplements; hypercholesterolemia; nutritional and metabolic diseases; pantethine

Mesh:

Substances:

Year:  2014        PMID: 24600231      PMCID: PMC3942300          DOI: 10.2147/VHRM.S57116

Source DB:  PubMed          Journal:  Vasc Health Risk Manag        ISSN: 1176-6344


Introduction

The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III [ATP-III]) provides evidence-based recommendations on the management of high blood cholesterol and related disorders. ATP-III reports have identified low-density lipoprotein cholesterol (LDL-C) as the primary target of cholesterol-lowering therapy. Many prospective studies have shown that a high serum LDL-C concentration is a major risk factor for coronary heart disease (CHD).1,2 On the basis of accumulated evidence from epidemiological studies and randomized control trials, the ATP-III has proposed a treatment algorithm for LDL-C-lowering therapy. According to the ATP-III algorithm, persons are categorized into three risk categories: 1) established CHD and CHD risk equivalents; 2) multiple (two or more) risk factors; and 3) zero to one risk factor. CHD risk equivalents include noncoronary forms of clinical atherosclerotic disease, diabetes, and multiple (two or more) CHD risk factors with 10-year risk for CHD >20%. All persons with CHD or CHD risk equivalents may be considered to be at high risk.3 The NCEP ATP-III guidelines for CHD risk stratification incorporate the concept of global risk assessment to determine the intensity and appropriateness of lipid-modifying treatment. According to the NCEP ATP-III, the LDL-C optimal goal for patients is <100 mg/dL, with ranges near optimal or above optimal of 100–129 mg/dL, borderline high of 130–159 mg/dL, high of 160–189 mg/dL, and very high of ≥190 mg/dL. The risk for cardiovascular disease (CVD) increases further when elevated LDL-C is coupled with other risk factors, such as being overweight, low high-density lipoprotein cholesterol (HDL-C) levels, high triglyceride (TG) levels, lack of exercise, high-sensitivity C-reactive protein (hs-CRP), high fibrinogen, hypertension, etc.4 According to the American Heart Association, an estimated one in three Americans have one or more types of CVD, and approximately half of them are estimated to be age 60 or older.5 Based on data from the ATP-III, only about a third of treated patients achieve their LDL-C goal, and less than 20% of those patients maintain their LDL-C goal. Statins are hypolipidemic agents and are used for treating hyperlipidemia and preventing cardiovascular events.6–8 The use of statin therapy is increasing,9 and its side effects are becoming more evident to clinicians. Intensive-dose statin therapy has been shown to reduce cardiovascular events;10 however, prolonged use of statins at high dose may induce muscle and liver damage11,12 and has been associated with an increased risk of developing diabetes mellitus.10,13–16 A clinical trial of diabetic patients receiving intensive statin therapy reported a loss of glycemic control.17 A recent study reported that patients with hypercholesterolemia receiving a high dose of atorvastatin developed insulin resistance as well as higher insulin and hemoglobin A1c levels compared with patients receiving low dosage or placebo.18 Thus, further investigation for new and alternative hypolipidemic agents, with better tolerability and fewer side effects, is warranted. Pantethine is a naturally occurring physiological compound synthesized in the body from pantothenic acid (vitamin B5). It is thought that pantethine, in conjunction with the intermediary cysteamine, inhibits acetyl-coenzyme (CoA) carboxylase and 3-hydroxy-3-methyl-glutaryl-CoA (HMG-CoA) reductase, thereby affecting TG synthesis and lipoprotein metabolism.19–21 Pantethine increases CoA levels within the cells,22 which favorably modifies lipoprotein metabolism.23,24 However, the full mechanism of action of pantethine in lowering cholesterol levels is not fully understood. Since homocysteine is believed to contribute to the onset and progression of atherosclerosis25 and is involved in the biosynthesis of CoA,26 it is possible that pantethine impacts homocysteine. Several studies report that pantethine is a well-tolerated hypolipidemic agent that may decrease serum total cholesterol (TC), TG, LDL-C, apolipoprotein (Apo) A-I, and Apo-B.27–32 A clinical study of diabetic hyperlipidemic patients on dialysis, treated with 900 mg/day of pantethine reported decreases in TC, very-low density lipoprotein cholesterol (VLDL-C), and TG.33 Pantethine may be a safe and effective alternative treatment of hyperlipidemia in patients with health issues who are not eligible for statin therapy. Pantethine is known to be safe and effective33 and has been used as a medicine in Japan for over 40 years. In the US, oral pantethine (Pantesin®; Daiichi Fine Chemical Co, Ltd, Toyama, Japan) has been available as a nutritional supplement since 1992. In a recent randomized clinical study in a North American population of participants at conventional low to moderate CVD risk, pantethine produced significant and sustained reductions in LDL-C, TC, and Apo-B.34 Based on previous studies on the efficacy of pantethine in participants with CVD risk and its record of tolerability, we hypothesized that oral pantethine would improve cholesterol metabolism in North American subjects at low to moderate CVD risk who are eligible for statin therapy according to the NCEP guidelines. More specifically, we hoped to clarify the benefits of the combination of oral pantethine with a Therapeutic Lifestyle Change (TLC) diet for individuals who are candidates for statins, in order to establish a treatment option with less serious adverse events (AEs).4

Material and methods

Study objectives

The primary end point in this study was the change in fasting LDL-C levels from baseline over a 16-week supplementation period. Secondary end points included lipoprotein parameters (fasting: TC, HDL-C, TG, VLDL-C, lipoprotein(a), and Apo-B), anthropomorphic measures (weight; waist circumference; and skin folds, using the Yuhasz skin-fold test),35 vital signs (heart rate and blood pressure), and laboratory tests for efficacy and safety (complete blood count [CBC] including platelets, hs-CRP, aspartate aminotransferase [AST], alanine transaminase [ALT], homocysteine, creatine kinase [CK], and coenzyme Q10 [CoQ10]).

Study design

This study was conducted in compliance with the International Conference on Harmonisation Guidance for Good Clinical Practice and according to the guidelines laid down in the Declaration of Helsinki and its amendments. This study was reviewed by Health Canada’s Natural Health Products Directorate (Ottawa, ON, Canada), and the Notice of Authorization was received on December 18, 2008. The Institutional Review Board Services (Aurora, ON, Canada) ethics committee approved all procedures in this study involving human subjects on December 22, 2008. All participants provided written informed consent prior to any study activities. This study was a randomized, triple-blinded, placebo-controlled trial with a 4-week diet lead-in followed by a 16-week treatment period. The study was conducted at two sites, KGK Synergize (London, ON, Canada) and SIBR Research (Bradenton, FL, USA).

Participants

Male and female participants enrolled in the study were recruited at the two research locations. The subjects were screened by physical examination and blood analysis to determine their eligibility, and 32 participants were randomized into the study. The physical examination included height, weight, waist circumference, skin-fold measurement, heart rate, and blood pressure. Fasting blood work included CBC, TC, HDL-C, LDL-C, TG, AST, ALT, glucose, creatinine, CK, and CoQ10. Females were required to have a negative result for the serum human chorionic gonadotropin test for pregnancy. Subjects were eligible for enrollment if they were ≥21 years of age and had LDL-C levels above the goal for TLC diet changes: low Framingham Risk Score (FRS) (<10% per decade) or zero to one nonlipid risk factors, and LDL-C >160 mg/dL; or moderate FRS (>10 but <20% per decade) or two or fewer nonlipid risk factors, and an LDL-C >130 mg/dL. Subjects were excluded if they had a history of gastrointestinal surgery, type I or type II diabetes, blood disorders, concurrent renal and/or liver failure, or significantly abnormal liver function tests; were using statins or other prescription medications to treat hyperlipidemia; had a diet high in soy or other food, supplements or natural products known to reduce cholesterol, or had followed the TLC diet within 12 weeks before the start of the study; were immune-compromised; used oral or injectable systemic corticosteroids, unless on a stable dose for more than 12 weeks; had CVD; had uncontrolled or untreated hypertension, defined as systolic pressure >160 mmHg or diastolic pressure >100 mmHg; had used prescribed medication or over-the-counter supplements for weight loss within the 12 weeks prior to randomization; had allergy or sensitivity to the investigational product ingredients; or had any other condition that, in the investigator’s opinion, adversely affected the subjects’ ability to complete the study or its measures, or that posed a significant risk to the subject.

Dietary intervention and diet lead-in

A registered dietician instructed participants on the TLC diet. The optional addition of 10 to 25 g/day viscous fibers and/or 2 g/day plant stanols/sterols and/or soy protein was excluded from the prescribed diet. Participants were required to follow the TLC diet for 4 weeks leading into the study (screening to baseline) so that the effect of the TLC diet on their lipid levels could be evaluated prior to the start of the supplementation. This eliminated potential contributions from varied diets between participants. The participants were required to remain on the TLC diet for the duration of the study and were required to complete a 3-day food record for any 2 weekdays and 1 weekend day before the next visit. To promote compliance with the TLC diet, the food records were completed and returned for review and counsel by the dietician at each study visit. The food records were analyzed for average daily energy intake of protein, fats, carbohydrates, and fiber.

Randomization and blinding

On completion of the 4-week TLC diet lead-in, participants were randomized in a 1:1 ratio to receive either pantethine or the placebo. A blocking factor of two was used for randomization. To preserve blinding, the investigational tablets and nonactive placebo tablets were identical in appearance and sealed in identical blister packs identifiable only by randomization number.

Investigational product

The investigational product was the pharmaceutical grade, proprietary product Pantesin HF55. Each tablet contained 300 mg of active ingredient and was manufactured by Eagle Nutritionals (Carlstadt, NJ, USA). The blister packs were manufactured by Generic Pharmaceutical Services (Hauppauge, NY, USA) and were labeled in accordance with the International Conference on Harmonisation Good Clinical Practice guidelines as well as applicable local regulations. Each blister pack contained two active ingredient tablets and one placebo tablet (600 mg/day dose, from weeks 1 to 8), three active ingredient tablets (900 mg/day dose from weeks 9 to16), or three placebo tablets. The participants in both groups took one tablet three times per day for the entire study period, from baseline to week 16. Compliance was assessed by reviewing the returned blister packs.

Clinical assessments

Participants returned to the clinic at weeks 0, 2, 4, 8, 12, and 16 and upon each visit, fasting (12 hours) blood was collected for analysis (Gamma-Dynacare Medical Laboratories, London, ON, Canada) of the lipid panel (TC, HDL-C, LDL-C, TG, VLDL-C, Apo-B, and lipoprotein), and markers of safety; CBC, electrolytes, and liver and kidney function tests. TG was analyzed by an enzymatic colorimetric assay performed on a Roche P800 Clinical Chemistry Analyzer, VLDL-C was calculated from TG values (by dividing TG by 2.18) and lipoprotein was measured by a nephelometric assay performed on a Siemens BN II Nephelometer. hs-CRP, homocysteine, and CoQ10 were measured at weeks 0, 4, 8, 12, and 16. hsCRP was analyzed using a Dade Behring BNII nephelometer and homocysteine analyzed using FPIA technology (Gamma-Dynacare Medical Laboratories). Total CoQ10 analysis was performed by HPLC with UV detection by KGK Synergize Laboratory (London, ON, Canada). The HPLC method was adapted from Mosca et al.36 Adverse events (AE) were recorded, by the participants, in diaries and were monitored by the investigator from the time they had at least one dose of study product until the end of the treatment period. Unfavorable signs and symptoms, including any abnormal laboratory findings, disease, or the worsening of any preexisting conditions that were temporally associated with the use of the investigational product, were considered AEs. The study investigator assessed AEs and designated the causality relationship with the investigational product as most probable, probable, possible, unlikely, or unrelated.

Statistical analyses

Between-group analyses of demographic and baseline characteristics were performed using a covariate adjustment for a comparison of study end points, and where baseline values were missing, the values obtained from the screening visit were used. Between-group analyses of primary and secondary end points and safety parameters were adjusted for baseline, and groups compared using an unpaired t-test. The Anderson–Darling test was used to determine whether data were non-normally distributed. Where data was non-normally distributed, between-group comparisons were made using a nonparametric test. Within-group comparisons were made using Student’s t-test or Wilcoxon signed-ranks test, as appropriate. The “last value carried forward” technique was also applied where data was missing subsequent to week 2, using the last available postrandomization observation for statistical analyses. A between-group analysis of the proportion of participants experiencing adverse events was performed using the Fisher’s exact test. All statistical analyses were performed using R, and probability values <0.05 were considered statistically significant.

Results

The participants enrolled in this study were predominantly white females; however, there was no statistically significant difference between groups at baseline (Table 1). A total of 32 participants completed the 4-week TLC diet lead-in and were randomized in a 1:1 ratio to receive either pantethine or placebo. Finally, 24 participants completed the 16-week supplementation (Figure 1).
Table 1

Baseline physical characteristics of participants in the pantethine and placebo groups

CharacteristicPantethine (n=16) mean ± SDPlacebo (n=16) mean ± SDP-valuea
Age (years)54.4±7.347.2±12.10.051
Height (cm)164.8±6.9169.3±7.50.083
Sex (%)
 Female87.5056.250.113
 Male12.5043.75
Race (%)
 White87.5093.75>0.999
 Other12.506.25>0.999

Notes:

Between-group (adjusted to baseline) statistical comparisons were conducted using unpaired t-test. Probability values P<0.05 are significant.

Abbreviation: SD, standard deviation.

Figure 1

Subject disposition.

Notes: *Two subjects withdrew from the study due to adverse events, and one moved out of the city. The adverse events that were reported were: cold symptoms (n=1); and presence of blood in the stool (n=1). **Four subjects withdrew from the study due to adverse events. The adverse events that were reported were: LDL-C increased to ATP III high-risk category (n=3); and one subject did not wish to continue study after being ill with strep throat (n=1). ***One subject withdrew from the study due to an increase in LDL-C to ATP III high-risk category. The black boxes represent the pantethine tablets which was the investigational product and the white boxes represent the placebo. In order to maintain blinding all subjects received 3 tablets. At week 8 the dose was increased in the pantethine group so they received three pantethine tablets (three black boxes).

Abbreviations: ATP III, Adult Treatment Panel III (Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in adults); LDL-C, low-density lipoprotein cholesterol; TLC, Therapeutic Lifestyle Change.

Lipid profile

There was a reduction in plasma LDL-C, TC, and non-HDL-C levels in all participants during the 4-week TLC diet lead-in from screening to baseline (Figure 2). The participants on pantethine demonstrated a significant decrease in TC at week 16 (P=0.040) and LDL-C at weeks 8 and 16 (P=0.020 and P=0.006, respectively) compared with placebo. Non-HDL-C showed decreasing trends at week 8 (P=0.102) and week 12 (P=0.145), with values reaching significance by week 16 (P=0.042), in the pantethine group compared with placebo. Homocysteine levels for both groups did not change significantly from baseline to week 16.
Figure 2

Changes in the serum (A) TC, (B) LDL-C, (C) non-HDL-C, and (D) Apo-B levels at screening, baseline, and weeks 2, 4, 8, 12 and 16 of the study period.

Notes: Data are represented as the mean ± SEM. Triangle (▲) represents placebo, and square (■) represents pantethine. Asterisk (*) indicates a statistically significant (P<0.05) between-group statistical comparison, using baseline as a covariate.

Abbreviations: Apo-B, apolipoprotein B; LDL-C, low-density lipoprotein cholesterol; non-HDL-C, non-high-density lipoprotein cholesterol; SEM, standard error of the mean; TC, total cholesterol.

Within groups, all participants demonstrated an insignificant decrease in their lipid profile from screening to baseline, during the 4-week lead-in TLC diet period. At week 4, a 6% decrease in TC (P=0.005), 11% decrease in LDL-C (P=0.002), 7% decrease in non-HDL-C (P=0.005), and 4% decrease in Apo-B (P=0.041) from baseline was seen in the pantethine group. These decreases continued to week 8, week 12, and week 16 for TC (6% [P=0.007], 7% [P=0.031], and 6% [P=0.041], respectively), LDL-C (11% [P<0.001], 11% [P=0.012], and 11% [P=0.004], respectively), and non-HDL-C (8% [P=0.002], 9% [P=0.022], and 8% [P=0.035], respectively). Improvements in LDL-C reached between-group significance at weeks 8 (P=0.027) and 16 (P=0.010). The within-group decrease in Apo-B showed a trend towards significance at week 8 (5% [P=0.106]) and decreased by 8% at week 12, reaching significance (P=0.032). The within-group decrease in the ratio of TC to HDL-C and non-HDL-C to HDL-C reached significance at week 8 (8% [P=0.004] and 9% [P=0.010], respectively) and week 12 (7% [P=0.028] and 9% [P=0.030], respectively). The participants on placebo showed a 2% decrease in LDL-C concentrations at week 8 and a 3% increase by week 16; however, these changes did not reach significance. There were no significant within-group changes, during the study period, in HDL-C, TG, VLDL-C, or lipoprotein(a) levels in the participants on pantethine. A subgroup analysis based on sex revealed that females supplemented with pantethine had significantly lower percent TC at weeks 4 (7% [P=0.003]), 8 (8% [P=0.001]), 12 (9% [P=0.012]), and 16 (8% [P=0.010]) compared with baseline. The within-group difference at week 16 translated into an 8% decrease in TC compared with those on placebo (P=0.021). Females showed a significant decrease in LDL-C at weeks 4 (P<0.001), 8 (P<0.001), 12 (P<0.006), and 16 (P<0.001) compared with baseline. These changes resulted in a significant 12% decrease of LDL-C at week 8 (P=0.016) and a 13% decrease at week 16 (P=0.003) compared with placebo. Significant within-group changes in non-HDL-C were also seen in females at weeks 4, 8, 12, and 16. These changes were significantly better than placebo at week 16 (P=0.018), showing an 11% decrease in non-HDL-C in the females on pantethine. The males on pantethine showed greater within-group decreases in LDL-C at weeks 2 and 4, but these changes did not reach significance between groups.

Anthropomorphic parameters and blood chemistry

There were no between- or within-group statistical differences in blood pressure, heart rate, waist circumference, or body mass index (BMI) during the study. The biochemistry and clinical chemistry of the participants showed there were no clinically relevant differences between the participants in the two groups (Table 2). CoQ10 increased from baseline to weeks 4, 8, 12, and 16 in participants on pantethine (P=0.028, P=0.001, P=0.008, and P=0.001, respectively) and placebo (P=0.019, P=0.012, P=0.042, and P=0.027, respectively); however, these increases were not statistically significant between groups (Table 2).
Table 2

Biochemistry and clinical characteristics of participants in the pantethine and placebo groups

PantethinePlaceboP-value

(n) mean ± SD(n) mean ± SD
Hemoglobin (g/L)
 Screening(16) 139.90±5.90(16) 144.60±13.30
 Baseline(16) 138.40±6.10(16) 140.90±11.300.508
 Week 2(16) 138.40±7.20(16) 141.90±12.200.339
 Week 4(16) 137.10±8.30(16) 141.60±10.700.201
 Week 8 dose escalation(16) 136.50±9.50(13) 141.20±12.700.260
 Week 12(15) 135.50±9.30(9) 141.00±13.600.253
 Week 16 end of study(15) 134.60±8.20(9) 142.20±13.000.090
Hematocrit (L/L)
 Screening(16) 0.408±0.020(16) 0.422±0.039
 Baseline(16) 0.406±0.023(16) 0.415±0.0360.412
 Week 2(16) 0.406±0.027(16) 0.414±0.0320.444
 Week 4(16) 0.403±0.028(16) 0.414±0.0310.289
 Week 8 dose escalation(16) 0.402±0.032(13) 0.414±0.0360.357
 Week 12(15) 0.400±0.041(9) 0.414±0.0440.428
 Week 16 end of study(15) 0.402±0.039(9) 0.424±0.0390.184
White blood cells (109/L)
 Screening(16) 6.19±1.52(16) 7.14±2.31
 Baseline(16) 5.86±1.10(16) 6.46±1.850.273
 Week 2(16) 5.96±1.33(16) 6.29±2.300.821
 Week 4(16) 6.02±0.89(16) 6.51±2.270.533
 Week 8 dose escalation(16) 5.83±1.19(13) 6.54±1.840.218
 Week 12(15) 5.68±1.48(9) 5.87±2.370.530
 Week 16 end of study(15) 5.89±1.58(9) 6.10±2.080.835
Red blood cells (1012/L)
 Screening(16) 4.52±0.28(16) 4.70±0.47
 Baseline(16) 4.45±0.23(16) 4.61±0.380.173
 Week 2(16) 4.46±0.31(16) 4.59±0.360.293
 Week 4(16) 4.40±0.28(16) 4.59±0.350.115
 Week 8 dose escalation(16) 4.40±0.32(13) 4.57±0.360.189
 Week 12(15) 4.37±0.37(9) 4.63±0.320.087
 Week 16 end of study(15) 4.35±0.30(9) 4.71±0.300.011*
MCV (fL)
 Screening(16) 90.50±2.70(16) 90.10±3.70
 Baseline(16) 91.30±3.00(16) 89.90±3.400.242
 Week 2(16) 91.20±3.10(16) 90.10±3.800.401
 Week 4(16) 91.20±3.20(16) 90.40±3.900.525
 Week 8 dose escalation(16) 91.50±3.30(13) 90.80±4.600.626
 Week 12(15) 91.90±3.80(9) 89.30±4.800.162
 Week 16 end of study(15) 92.00±4.50(9) 90.00±5.300.332
MCH (pg)
 Screening(16) 31.02±1.18(16) 30.76±1.67
 Baseline(16) 31.14±1.16(16) 30.66±1.400.292
 Week 2(16) 31.07±1.15(16) 30.96±1.490.813
 Week 4(16) 31.18±1.15(16) 30.97±1.740.687
 Week 8 dose escalation(16) 31.07±1.25(13) 30.95±1.810.831
 Week 12(15) 31.10±1.18(9) 30.37±1.530.199
 Week 16 end of study(15) 31.02±1.13(9) 30.10±1.490.100
MCH concentration (g/L)
 Screening(16) 342.50±5.80(16) 341.70±6.10
 Baseline(16) 341.30±8.60(16) 340.60±6.900.570
 Week 2(16) 340.90±8.90(16) 343.40±7.600.387
 Week 4(16) 341.80±6.60(16) 342.00±8.100.943
 Week 8 dose escalation(16) 339.60±7.90(13) 341.00±8.900.648
 Week 12(15) 339.10±15.20(9) 341.00±14.300.698
 Week 16 end of study(15) 337.10±14.80(9) 334.90±13.500.611
RDW (%)
 Screening(16) 13.55±0.75(16) 13.59±0.97
 Baseline(16) 13.76±0.94(16) 13.73±1.030.663
 Week 2(16) 13.82±0.85(16) 13.81±1.060.971
 Week 4(16) 13.84±0.92(16) 13.86±1.110.945
 Week 8 dose escalation(16) 13.98±1.05(13) 13.64±1.200.262
 Week 12(15) 13.97±1.23(9) 13.96±1.23>0.999
 Week 16 end of study(15) 14.09±1.16(9) 14.08±1.360.952
Platelet count (109/L)
 Screening(16) 302.00±66.00(16) 276.00±79.00
 Baseline(15) 285.00±59.00(16) 260.00±67.000.287
 Week 2(16) 293.00±61.00(16) 262.00±78.000.222
 Week 4(16) 284.00±68.00(16) 263.00±70.000.346
 Week 8 dose escalation(16) 282.00±68.00(13) 273.00±81.000.735
 Week 12(15) 272.00±62.00(9) 247.00±79.000.221
 Week 16 end of study(15) 267.00±67.00(9) 269.00±96.000.907
MPV (fL)
 Screening(16) 8.37±0.81(16) 8.99±0.88
 Baseline(15) 8.57±1.10(16) 9.04±0.910.208
 Week 2(16) 8.49±0.83(16) 9.14±0.770.028*
 Week 4(16) 8.52±0.86(16) 9.22±0.910.032*
 Week 8 dose escalation(16) 8.54±0.76(13) 9.05±0.650.063
 Week 12(15) 8.63±0.93(9) 8.97±0.430.436
 Week 16 end of study(15) 8.66±0.94(9) 9.04±0.550.353
Neutrophils (109/L)
 Screening(16) 3.57±1.07(16) 4.62±1.93
 Baseline(16) 3.47±0.91(16) 3.94±1.360.257
 Week 2(16) 3.46±0.99(16) 3.96±1.870.706
 Week 4(16) 3.65±0.71(16) 4.14±1.750.307
 Week 8 dose escalation(16) 3.41±1.00(13) 4.17±1.460.106
 Week 12(15) 3.30±1.36(9) 3.58±1.430.676
 Week 16 end of study(14) 3.33±1.03(9) 3.60±1.240.567
Lymphocytes (109/L)
 Screening(16) 1.99±0.51(16) 1.90±0.51
 Baseline(16) 1.87±0.44(16) 1.94±0.530.714
 Week 2(16) 1.90±0.53(16) 1.73±0.470.345
 Week 4(16) 1.79±0.40(16) 1.82±0.510.878
 Week 8 dose escalation(16) 1.86±0.39(13) 1.82±0.510.817
 Week 12(15) 1.79±0.63(9) 1.74±0.850.474
 Week 16 end of study(14) 2.07±1.04(9) 1.90±0.940.378
Monocytes (109/L)
 Screening(16) 0.40±0.14(16) 0.42±0.14
 Baseline(16) 0.34±0.13(16) 0.39±0.120.350
 Week 2(16) 0.37±0.13(16) 0.39±0.110.651
 Week 4(16) 0.38±0.09(16) 0.37±0.100.816
 Week 8 dose escalation(16) 0.35±0.12(13) 0.38±0.100.507
 Week 12(15) 0.36±0.13(9) 0.36±0.160.591
 Week 16 end of study(14) 0.38±0.12(9) 0.33±0.140.403
Eosinophils (109/L)
 Screening(16) 0.19±0.14(16) 0.16±0.12
 Baseline(16) 0.15±0.10(16) 0.15±0.140.955
 Week 2(16) 0.19±0.12(16) 0.16±0.190.375
 Week 4(16) 0.18±0.13(16) 0.16±0.140.748
 Week 8 dose escalation(16) 0.17±0.14(13) 0.16±0.120.775
 Week 12(15) 0.22±0.19(9) 0.17±0.190.550
 Week 16 end of study(14) 0.17±0.13(9) 0.22±0.170.481
Basophils (109/L)
 Screening(16) 0.050±0.028(16) 0.034±0.033
 Baseline(16) 0.041±0.030(16) 0.028±0.0380.472
 Week 2(16) 0.049±0.032(16) 0.037±0.0350.157
 Week 4(16) 0.035±0.029(16) 0.041±0.0360.583
 Week 8 dose escalation(16) 0.033±0.031(13) 0.032±0.0340.890
 Week 12(15) 0.023±0.026(9) 0.026±0.0250.897
 Week 16 end of study(14) 0.025±0.032(9) 0.059±0.0510.090
Glucose (mmol/L)
 Screening/baseline(16) 4.83±0.71(16) 4.98±0.530.677
Creatinine (μmol/L)
 Screening/baseline(16) 66.20±12.20(16) 75.90±15.000.054
 Week 16 end of study(16) 65.50±11.90(14) 74.50±13.000.058
eGFR (mL/min/1.73 m2)
 Screening/baseline(16) 84.90±7.20(16) 85.10±6.800.787
 Week 16 end of study(16) 85.80±6.90(14) 86.60±6.000.588
AST (U/L)
 Screening(16) 20.50±6.20(16) 24.70±10.80
 Baseline(16) 19.40±3.90(16) 22.90±7.800.198
 Week 2(16) 18.40±4.70(16) 21.80±7.600.142
 Week 4(16) 20.60±7.80(16) 24.40±12.600.192
 Week 8 dose escalation(16) 19.20±4.30(13) 23.20±9.800.235
 Week 12(15) 17.80±3.90(9) 22.70±7.700.050*
 Week 16 end of study(15) 18.90±5.60(9) 25.20±8.100.034*
ALT (U/L)
 Screening(16) 19.50±9.90(16) 33.10±31.90
 Baseline(16) 18.00±7.60(16) 27.30±18.800.131
 Week 2(16) 17.00±6.10(16) 26.10±17.700.126
 Week 4(16) 18.30±13.20(16) 27.10±21.700.052
 Week 8 dose escalation(16) 16.50±7.30(13) 28.40±17.900.014*
 Week 12(15) 16.10±5.80(9) 29.30±17.100.017*
 Week 16 end of study(15) 17.70±11.50(9) 35.30±22.100.012*
Creatinine kinase (U/L)
 Baseline(16) 84.00±43.00(16) 97.00±50.000.346
 Week 16 end of study(16) 92.00±45.00(14) 86.00±42.000.787
Homocysteine
 Baseline(16) 10.75±2.32(16) 10.31±2.770.632
 Week 4(16) 10.56±2.25(16) 10.75±2.590.829
 Week 8 dose escalation(16) 11.25±2.27(13) 9.85±2.300.111
 Week 12(15) 10.67±1.95(9) 8.56±3.810.085
 Week 16 end of study(15) 10.20±1.66(9) 9.78±2.050.585
hs-CRP
 Baseline(16) 1.65±1.61(16) 3.51±3.440.038*
 Week 4(16) 1.69±1.58(16) 3.47±3.330.040*
 Week 8 dose escalation(16) 1.87±1.72(13) 3.42±3.600.227
 Week 12(15) 1.47±1.61(9) 3.24±2.860.073
 Week 16 end of study(15) 1.48±1.59(9) 3.27±2.640.042*
CoQ10
 Baseline(16) 0.89±0.17(16) 0.93±0.210.895
 Week 4(16) 0.98±0.23(16) 1.03±0.280.821
 Week 8 dose escalation(16) 1.08±0.27(13) 1.13±0.370.948
 Week 12(15) 1.11±0.29(9) 1.28±0.450.551
 Week 16 end of study(15) 1.15±0.32(9) 1.32±0.450.531

Notes: Probability values P<0.05 are significant.

P-values that were significantly different between groups. The between group statistical significance in red blood cells, MPV and AST values remained within the normal laboratory reference range.

Abbreviations: ALT, alanine transaminase; AST, aspartase aminotransferase; CoQ10, Coenzyme Q10; eGFR, estimated glomerular filtration rate; hs-CRP, high sensitivity C-reactive protein; MCH, mean corpuscular hemoglobin; MCV, mean corpuscular volume; MPV, mean platelet volume; RDW, red cell distribution width; SD, standard deviation.

Adverse events

In the current study, a total of one symptom potentially attributed to study medication was recorded in one participant in the placebo group. A total of two symptoms (diarrhea and flatulence) potentially attributed to the study medication were reported by participants on pantethine. The diarrhea was moderate in intensity, experienced for 3 days during the 600 mg/day dosage period, and did not recur when the dosage was escalated. The flatulence reported by one participant was experienced during both dosage periods, was mild in intensity, and resolved prior to the end of the study. A single mild episode of neutropenia was found in a participant on placebo.

Discussion

It is well established that elevated levels of plasma lipids play a major role in the development and progression of atherosclerotic disease.37–39 Lowering LDL-C levels in an individual reduces the CVD risk and incidence of cardiovascular outcomes.4,40,41 Currently, cholesterol-lowering drugs, such as statins, lower LDL-C and the prevalence of cardiovascular events.6–8 However, intensive statin use has been associated with onset of diabetes, muscle and liver damage, and cognitive impairment.10–12,42 The ATP III recommends that the first line of treatment for a patient with abnormal LDL-C should be the TLC diet. Thereafter, individuals are categorized by risk factor profile and/or FRS and are considered to be eligible for statin therapy if LDL-C levels are above a specific goal.34 A previous study on pantethine investigated the efficacy of pantethine treatment in low-risk (FRS 10-year risk <10% and LDL <160 mg/dL) or moderate-risk (FRS 10-year risk >10% but <20% and LDL <130 mg/dL) subjects eligible for TLC diet initiation but not for statin therapy. In these participants, pantethine supplementation for 16 weeks significantly lowered TC and LDL-C over and above the TLC diet alone.34 The current study investigated the efficacy of pantethine on subjects eligible for statin therapy and therefore, with LDL-C levels above the ATP III goal for TLC diet changes (low FRS [<10% per decade] or zero to one nonlipid risk factor, and LDL-C >160 mg/dL; or moderate FRS [>10 but <20% per decade] or two or fewer nonlipid risk factors, and LDL-C >130 mg/dL). The results of our study confirmed the hypothesis that pantethine would significantly improve cholesterol metabolism, by lowering TC and LDL-C, without causing serious AEs in low- and moderate-CVD risk individuals eligible for statin therapy. Pantethine did not have an effect on TG levels, possibly because the enrolled participants had normal TG levels at baseline. The primary conclusion of this investigation is that the TLC diet alone did not produce a significant change in the lipid profile, but pantethine coupled with the TLC diet significantly decreased TC and LDL-C in participants during the 16-week study. The Framingham Offspring Study has suggested a sex effect on LDL-C.43 The pantethine group had a higher female to male ratio than did the placebo group. A subgroup analysis on sex showed that there was no significant difference in LDL-C at screening or after the 4-week TLC diet lead-in, with participants in both groups having similar LDL-C values at baseline. However after the initiation of the supplementation, the pantethine group showed greater within-group decreases in LDL-C, reaching 11% by week 4. The female participants showed a 13% decrease by week 8, which was then maintained at weeks 12 and 16. These within-group percentage changes were significant between groups at week 8 and week 16, suggesting that the improvements in LDL-C in females were associated with pantethine supplementation. The Apo-B levels in the females on pantethine also showed significant decreases from baseline at weeks 2, 4, 8, 12, and 16; those on placebo showed an increase in Apo-B during the study. The male participants on pantethine did not show differences in lipid parameters, possibly due to the smaller sample numbers. The increase from 600 mg/day in weeks 1 through 8 to 900 mg/day in weeks 9 through 16 did not appear to provide any additional or measurable benefit with respect to improvement in lipid parameters at week 12; however, significant improvements were observed by week 16. These results suggest that the optimal benefit in low to moderate risk participants eligible for statin therapy is achieved at a 300 mg twice per day dose schedule; however, levels of pantethine in the blood were not measured during the treatment period. According to the NCEP ATP-III, the initial LDL-C levels of the randomized participants in this trial were in the high category. At 16 weeks after randomization, the participants receiving placebo remained in the high category, while the participants receiving pantethine decreased to the borderline high category. The participants receiving pantethine demonstrated a reduction of LDL-C levels that reached 11% below baseline at week 16, a significant result compared with that of the participants on placebo, who showed a 3% increase. The length of this trial was a shortcoming of the study as after the 16 weeks of pantethine administration, the measured parameters had not plateaued, making prediction of the long-term outcome of pantethine on lipidemia difficult. Future clinical trials investigating the long-term administration of pantethine may demonstrate an even more robust decline in LDL-C and TC levels. A small sample size and absence of sex stratification were also limitations of this study design. Prior clinical studies have reported that for every 1% reduction of LDL-C levels, an approximate 1% relative risk reduction of major CHD events is attained.44–52 Participants receiving pantethine also had a 6% decrease in TC and 8% decrease in non-HDL-C, which was significantly different from participants on placebo who only had 2% and 1% decreases, respectively. Further evidence in the literature has demonstrated conclusively that lowering serum cholesterol concentration results in substantial protection from ischemic heart disease.3,40,53 There were no significant changes in homocysteine levels from baseline to week 16 and levels remained within the normal range (≤15 μmol/L) for both groups during this study. The effect of homocysteine on CVD risk remains uncertain. Homocysteine level is a prognostic marker of mortality and CVD events in patients with preexisting CVD risk factors.54 On the other hand, meta-studies have shown that reducing homocysteine levels by vitamin supplementation did not reduce the risk of major cardiovascular events or overall mortality in patients with vascular disease.55,56 As the mechanisms of action of pantethine in lowering cholesterol levels are not fully understood, it was important to consider the impact of pantethine supplementation, if any, on homocysteine. The adverse events attributed to the study product were 6.3% for placebo and 12.5% for pantethine. In the placebo group, an unresolved mild blood and bone marrow AE (neutropenia) was observed. In the pantethine group, flatulence and diarrhea were reported, but these two events resolved during the study. The AEs reported in this study were consistent with the previously reported AEs of pantethine.32,34 Previous clinical studies have demonstrated that pantethine is well tolerated, with a low occurrence of side effects at dosages from 600 to 1,200 mg/day.32,34 Some of the health risks of prolonged use of statins at high dosages include myalgias and increased risk of developing diabetes mellitus. These are related to concomitant lowering of in vivo CoQ10 production. Though not significant between groups, CoQ10 levels significantly increased from baseline to week 4 and remained increased at week 16 in both the pantethine and placebo group. It is possible that the TLC diet may have provided foods containing higher levels of CoQ10 compared with the meals the participants were consuming prior to the start of the study. Furthermore, plasma CoQ10 levels are not necessarily a reflection of tissue CoQ10 levels.57 Unlike statins, which are HMG-CoA reductase inhibitors that block the biosynthesis of CoQ10, pantethine did not block CoQ10.58 Since pantethine does not affect CoQ10 production, the combined use of pantethine and a low dose of statins may act synergistically to lower LDL-C while minimizing the adverse effects related to a high dose of statins. Further research is required to test this hypothesis. The mechanism of action of pantethine in its role as a lipid-lowering agent is yet to be clarified. It has been postulated that pantethine acts by inhibiting the enzymes acetyl-CoA carboxylase and HMG-CoA reductase, thus modifying lipoprotein metabolism.22,34 Others have reported that neuropeptides activated by pantethine have an effect on calcitonin gene-related peptide (CGRP) and vasoactive intestinal polypeptide (VIP).53 Further research is required to determine whether the enhancement of blood flow and gut motility by both CGRP and VIP may be associated with improvements in the CVD end points measured in this study.54,55 Recently, gut microbiota and microbial metabolome have been identified to play important roles in CVD, diabetes, and cancer.59,60 Evidence from repeated randomized clinical studies have shown that probiotic bacterial strains, such Lactobacillus and Bifidobacterium, aid in decreasing lipids in hyperlipidemic adults.61,62 Pantethine has been reported to promote the survival and growth of various beneficial gut microorganisms.62–65 In vitro studies have identified a role for pantethine as a growth factor for Lactobacillus bulgaricus and Bifidobacterium bifidum, in promoting their survival and growth.64,65 These results, together with results of the human studies on pantethine, suggest the possible linkage of multiple mechanisms of actions in the various health benefits of pantethine.

Conclusion

This study confirms that pantethine lowers CVD risk markers in low to moderate CVD risk participants who are candidates for statins according to the NCEP guidelines. Compared with placebo, pantethine-treated participants demonstrated significant declines in LDL-C, HDL-C, and TC levels after 16 weeks of treatment. Moreover, unlike statins, which deplete CoQ10 to detrimental levels, both the pantethine and placebo groups significantly increased their CoQ10 levels above baseline. This study demonstrated that the TLC diet alone did not significantly affect lipid profiles but in conjunction with pantethine supplementation, significantly decreased lipid levels. Supplementation with pantethine may therefore be considered as an optional adjunctive therapy for patients with low to moderate CVD risk.
  59 in total

1.  Modulation of HMG-CoA reductase activity by pantetheine/pantethine.

Authors:  G Cighetti; M Del Puppo; R Paroni; M Galli Kienle
Journal:  Biochim Biophys Acta       Date:  1988-11-25

2.  Statin use and risk of diabetes mellitus in postmenopausal women in the Women's Health Initiative.

Authors:  Annie L Culver; Ira S Ockene; Raji Balasubramanian; Barbara C Olendzki; Deidre M Sepavich; Jean Wactawski-Wende; Joann E Manson; Yongxia Qiao; Simin Liu; Philip A Merriam; Catherine Rahilly-Tierny; Fridtjof Thomas; Jeffrey S Berger; Judith K Ockene; J David Curb; Yunsheng Ma
Journal:  Arch Intern Med       Date:  2012-01-09

3.  Risk of incident diabetes with intensive-dose compared with moderate-dose statin therapy: a meta-analysis.

Authors:  David Preiss; Sreenivasa Rao Kondapally Seshasai; Paul Welsh; Sabina A Murphy; Jennifer E Ho; David D Waters; David A DeMicco; Philip Barter; Christopher P Cannon; Marc S Sabatine; Eugene Braunwald; John J P Kastelein; James A de Lemos; Michael A Blazing; Terje R Pedersen; Matti J Tikkanen; Naveed Sattar; Kausik K Ray
Journal:  JAMA       Date:  2011-06-22       Impact factor: 56.272

Review 4.  The Hordaland Homocysteine Study: a community-based study of homocysteine, its determinants, and associations with disease.

Authors:  Helga Refsum; Eha Nurk; A David Smith; Per M Ueland; Clara G Gjesdal; Ingvar Bjelland; Aage Tverdal; Grethe S Tell; Ottar Nygård; Stein E Vollset
Journal:  J Nutr       Date:  2006-06       Impact factor: 4.798

5.  The effect of pravastatin on coronary events after myocardial infarction in patients with average cholesterol levels. Cholesterol and Recurrent Events Trial investigators.

Authors:  F M Sacks; M A Pfeffer; L A Moye; J L Rouleau; J D Rutherford; T G Cole; L Brown; J W Warnica; J M Arnold; C C Wun; B R Davis; E Braunwald
Journal:  N Engl J Med       Date:  1996-10-03       Impact factor: 91.245

Review 6.  Cholesterol lowering with bile salt hydrolase-active probiotic bacteria, mechanism of action, clinical evidence, and future direction for heart health applications.

Authors:  Mitchell L Jones; Catherine Tomaro-Duchesneau; Christopher J Martoni; Satya Prakash
Journal:  Expert Opin Biol Ther       Date:  2013-01-28       Impact factor: 4.388

7.  Primary prevention of acute coronary events with lovastatin in men and women with average cholesterol levels: results of AFCAPS/TexCAPS. Air Force/Texas Coronary Atherosclerosis Prevention Study.

Authors:  J R Downs; M Clearfield; S Weis; E Whitney; D R Shapiro; P A Beere; A Langendorfer; E A Stein; W Kruyer; A M Gotto
Journal:  JAMA       Date:  1998-05-27       Impact factor: 56.272

8.  Lipids and risk of coronary heart disease. The Framingham Study.

Authors:  W P Castelli; K Anderson; P W Wilson; D Levy
Journal:  Ann Epidemiol       Date:  1992 Jan-Mar       Impact factor: 3.797

9.  Effects of age, gender, and menopausal status on plasma low density lipoprotein cholesterol and apolipoprotein B levels in the Framingham Offspring Study.

Authors:  E J Schaefer; S Lamon-Fava; S D Cohn; M M Schaefer; J M Ordovas; W P Castelli; P W Wilson
Journal:  J Lipid Res       Date:  1994-05       Impact factor: 5.922

10.  Prevention of coronary heart disease with pravastatin in men with hypercholesterolemia. West of Scotland Coronary Prevention Study Group.

Authors:  J Shepherd; S M Cobbe; I Ford; C G Isles; A R Lorimer; P W MacFarlane; J H McKillop; C J Packard
Journal:  N Engl J Med       Date:  1995-11-16       Impact factor: 91.245

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  8 in total

1.  Mechanistic basis for impaired ferroptosis in cells expressing the African-centric S47 variant of p53.

Authors:  Julia I-Ju Leu; Maureen E Murphy; Donna L George
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-08       Impact factor: 11.205

2.  Lipid lowering nutraceuticals in clinical practice: position paper from an International Lipid Expert Panel.

Authors:  Arrigo F G Cicero; Alessandro Colletti; Gani Bajraktari; Olivier Descamps; Dragan M Djuric; Marat Ezhov; Zlatko Fras; Niki Katsiki; Michel Langlois; Gustavs Latkovskis; Demosthenes B Panagiotakos; Gyorgy Paragh; Dimitri P Mikhailidis; Olena Mitchenko; Bernhard Paulweber; Daniel Pella; Christos Pitsavos; Željko Reiner; Kausik K Ray; Manfredi Rizzo; Amirhossein Sahebkar; Maria-Corina Serban; Laurence S Sperling; Peter P Toth; Dragos Vinereanu; Michal Vrablík; Nathan D Wong; Maciej Banach
Journal:  Arch Med Sci       Date:  2017-08-04       Impact factor: 3.318

Review 3.  Biological Properties of Vitamins of the B-Complex, Part 1: Vitamins B1, B2, B3, and B5.

Authors:  Marcel Hrubša; Tomáš Siatka; Iveta Nejmanová; Marie Vopršalová; Lenka Kujovská Krčmová; Kateřina Matoušová; Lenka Javorská; Kateřina Macáková; Laura Mercolini; Fernando Remião; Marek Máťuš; Přemysl Mladěnka
Journal:  Nutrients       Date:  2022-01-22       Impact factor: 5.717

Review 4.  The Pathophysiological Role of CoA.

Authors:  Aleksandra Czumaj; Sylwia Szrok-Jurga; Areta Hebanowska; Jacek Turyn; Julian Swierczynski; Tomasz Sledzinski; Ewa Stelmanska
Journal:  Int J Mol Sci       Date:  2020-11-28       Impact factor: 5.923

5.  Association between plasma Vitamin B5 levels and all-cause mortality: A nested case-control study.

Authors:  Yuan Hong; Ziyi Zhou; Nan Zhang; Qiangqiang He; Zhangyou Guo; Lishun Liu; Yun Song; Ping Chen; Yaping Wei; Qiuyue Xu; Ya Li; Binyan Wang; Xianhui Qin; Xiping Xu; Yong Duan
Journal:  J Clin Hypertens (Greenwich)       Date:  2022-06-14       Impact factor: 2.885

6.  Therapeutic approach with commercial supplements for pantothenate kinase-associated neurodegeneration with residual PANK2 expression levels.

Authors:  Mónica Álvarez-Córdoba; Diana Reche-López; Paula Cilleros-Holgado; Marta Talaverón-Rey; Irene Villalón-García; Suleva Povea-Cabello; Juan M Suárez-Rivero; Alejandra Suárez-Carrillo; Manuel Munuera-Cabeza; Rocío Piñero-Pérez; José A Sánchez-Alcázar
Journal:  Orphanet J Rare Dis       Date:  2022-08-09       Impact factor: 4.303

Review 7.  The Effect of Vitamin Supplementation on Subclinical Atherosclerosis in Patients without Manifest Cardiovascular Diseases: Never-ending Hope or Underestimated Effect?

Authors:  Ovidiu Mitu; Ioana Alexandra Cirneala; Andrada Ioana Lupsan; Mircea Iurciuc; Ivona Mitu; Daniela Cristina Dimitriu; Alexandru Dan Costache; Antoniu Octavian Petris; Irina Iuliana Costache
Journal:  Molecules       Date:  2020-04-09       Impact factor: 4.411

Review 8.  B Vitamins and Fatty Acids: What Do They Share with Small Vessel Disease-Related Dementia?

Authors:  Rita Moretti; Costanza Peinkhofer
Journal:  Int J Mol Sci       Date:  2019-11-18       Impact factor: 5.923

  8 in total

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